Stream Data Processing: A Quality of Service Perspective

Stream Data Processing: A Quality of Service Perspective PDF Author: Sharma Chakravarthy
Publisher: Springer Science & Business Media
ISBN: 0387710035
Category : Computers
Languages : en
Pages : 341

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Book Description
The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs). This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of the techniques proposed. Ii includes important aspects of a QoS-driven DSMS (Data Stream Management System) and introduces applications where a DSMS can be used and discusses needs beyond the stream processing model. It also discusses in detail the design and implementation of MavStream. This volume is primarily intended as a reference book for researchers and advanced-level students in computer science. It is also appropriate for practitioners in industry who are interested in developing applications.

Stream Data Processing: A Quality of Service Perspective

Stream Data Processing: A Quality of Service Perspective PDF Author: Sharma Chakravarthy
Publisher: Springer Science & Business Media
ISBN: 0387710035
Category : Computers
Languages : en
Pages : 341

Get Book Here

Book Description
The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs). This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of the techniques proposed. Ii includes important aspects of a QoS-driven DSMS (Data Stream Management System) and introduces applications where a DSMS can be used and discusses needs beyond the stream processing model. It also discusses in detail the design and implementation of MavStream. This volume is primarily intended as a reference book for researchers and advanced-level students in computer science. It is also appropriate for practitioners in industry who are interested in developing applications.

Stream Data Processing: A Quality of Service Perspective

Stream Data Processing: A Quality of Service Perspective PDF Author: Sharma Chakravarthy
Publisher: Springer
ISBN: 9780387710020
Category : Computers
Languages : en
Pages : 324

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Book Description
The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs). This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of the techniques proposed. Ii includes important aspects of a QoS-driven DSMS (Data Stream Management System) and introduces applications where a DSMS can be used and discusses needs beyond the stream processing model. It also discusses in detail the design and implementation of MavStream. This volume is primarily intended as a reference book for researchers and advanced-level students in computer science. It is also appropriate for practitioners in industry who are interested in developing applications.

Data Stream Management

Data Stream Management PDF Author: Lukasz Golab
Publisher: Springer Nature
ISBN: 3031018370
Category : Computers
Languages : en
Pages : 65

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Book Description
Many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log mining. In general, a data stream is an unbounded data set that is produced incrementally over time, rather than being available in full before its processing begins. In this lecture, we give an overview of recent research in stream processing, ranging from answering simple queries on high-speed streams to loading real-time data feeds into a streaming warehouse for off-line analysis. We will discuss two types of systems for end-to-end stream processing: Data Stream Management Systems (DSMSs) and Streaming Data Warehouses (SDWs). A traditional database management system typically processes a stream of ad-hoc queries over relatively static data. In contrast, a DSMS evaluates static (long-running) queries on streaming data, making a single pass over the data and using limited working memory. In the first part of this lecture, we will discuss research problems in DSMSs, such as continuous query languages, non-blocking query operators that continually react to new data, and continuous query optimization. The second part covers SDWs, which combine the real-time response of a DSMS by loading new data as soon as they arrive with a data warehouse's ability to manage Terabytes of historical data on secondary storage. Table of Contents: Introduction / Data Stream Management Systems / Streaming Data Warehouses / Conclusions

Fundamentals of Pervasive Information Management Systems

Fundamentals of Pervasive Information Management Systems PDF Author: Vijay Kumar
Publisher: John Wiley & Sons
ISBN: 1118647696
Category : Computers
Languages : en
Pages : 392

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Book Description
A comprehensive new edition on mobile computing—coveringboth mobile and sensor data The new paradigm of pervasive computing was born from the needsof highly mobile workers to access and transfer data while on thego. Significant advances in the technology have lent and willcontinue to lend prevalence to its use—especially inm-commerce. Covering both mobile data and sensor data, thiscomprehensive text offers updated research on sensor technology,data stream processing, mobile database security, and contextualprocessing. Packed with cases studies, exercises, and examples,Fundamentals of Pervasive Information Management Systemscovers essential aspects of wireless communication and provides athorough discussion about managing information on mobile databasesystems (MDS). It addresses the integration of web and workflowwith mobile computing and looks at the current state ofresearch. Fundamentals of Pervasive Information Management Systemspresents chapters on: Mobile Database System Mobile and Wireless Communication Location and Handoff Management Fundamentals of Database Processing Introduction to Concurrency Control Mechanisms Effect of Mobility on Data Processing Transaction Management in Mobile Database Systems Mobile Database Recovery Wireless Information Dissemination Introduction to Sensor Technology Sensor Technology and Data Streams Management Sensor Network Deployment: Case Studies Fundamentals of Pervasive Information Management Systemsis an ideal book for researchers, teachers, and graduate studentsof mobile computing. The book may also be used as a reference textfor researchers or managers.

A Reference Architecture for Real-Time Performance Measurement

A Reference Architecture for Real-Time Performance Measurement PDF Author: Sachin Karadgi
Publisher: Springer
ISBN: 331907007X
Category : Business & Economics
Languages : en
Pages : 153

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Book Description
This book describes how manufacturing enterprises, by reinforcing their existing monitoring and control of manufacturing processes, can successfully face the ever-increasing pressure from internal and external environments to maintain their competitive advantage. Numerous performance measurement systems have been elaborated to satisfy these requirements, stressing the importance of financial and operational metrics. It also highlights the fact that research on generating and linking financial and operational metrics, especially in real-time, has not garnered sufficient attention to date. The book follows an approach that integrates enterprises across different levels and departments. By computing and linking the financial and operational metrics in real-time, the book demonstrates how to provide a comprehensive view of an entire enterprise.

Euro-Par 2018: Parallel Processing Workshops

Euro-Par 2018: Parallel Processing Workshops PDF Author: Gabriele Mencagli
Publisher: Springer
ISBN: 3030105490
Category : Computers
Languages : en
Pages : 845

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Book Description
This book constitutes revised selected papers from the workshops held at 24th International Conference on Parallel and Distributed Computing, Euro-Par 2018, which took place in Turin, Italy, in August 2018. The 64 full papers presented in this volume were carefully reviewed and selected from 109 submissions. Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects.

Data and Applications Security and Privacy XXV

Data and Applications Security and Privacy XXV PDF Author: Yingjiu Li
Publisher: Springer
ISBN: 3642223486
Category : Computers
Languages : en
Pages : 319

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Book Description
This book constitutes the refereed proceedings of the 25th IFIP WG 11.3 International Conference on Data and Applications Security and Privacy, DBSec 2011, held in Richmond, VA, USA, in July 2011. The 14 revised full papers and 9 short papers presented together with 3 invited lectures were carefully reviewed and selected from 37 submissions. The topics of these papers include access control, privacy-preserving data applications, data confidentiality and query verification, query and data privacy, authentication and secret sharing.

Database Systems for Advanced Applications

Database Systems for Advanced Applications PDF Author: Jeffrey Xu Yu
Publisher: Springer
ISBN: 3642201490
Category : Computers
Languages : en
Pages : 604

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Book Description
This two volume set LNCS 6587 and LNCS 6588 constitutes the refereed proceedings of the 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, held in Saarbrücken, Germany, in April 2010. The 53 revised full papers and 12 revised short papers presented together with 2 invited keynote papers, 22 demonstration papers, 4 industrial papers, 8 demo papers, and the abstract of 1 panel discussion, were carefully reviewed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.

Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Internet of Things, Smart Spaces, and Next Generation Networks and Systems PDF Author: Olga Galinina
Publisher: Springer
ISBN: 3030011682
Category : Computers
Languages : en
Pages : 720

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Book Description
This book constitutes the joint refereed proceedings of the 18th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2018, the 11th Conference on Internet of Things and Smart Spaces, ruSMART 2018. The 64 revised full papers presented were carefully reviewed and selected from 186 submissions. The papers of NEW2AN focus on advanced wireless networking and applications; lower-layer communication enablers; novel and innovative approaches to performance and efficiency analysis of ad-hoc and machine-type systems; employed game-theoretical formulations, Markov chain models, and advanced queuing theory; grapheme and other emerging material, photonics and optics; generation and processing of signals; and business aspects. The ruSMART papers deal with fully-customized applications and services.

Multimedia Big Data Computing for IoT Applications

Multimedia Big Data Computing for IoT Applications PDF Author: Sudeep Tanwar
Publisher: Springer
ISBN: 9811387591
Category : Technology & Engineering
Languages : en
Pages : 477

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Book Description
This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.